Machine Learning, Python & Data Analytics Essentials: Master AI, Data Science, and Analytics for Career Growth | Comprehensive Combo for Beginners & Professionals (Set of 3 Books)

Click on individual book titles below to view their complete Table of Contents. 

Machine Learning Essentials You Always Wanted to Know

Python Essentials You Always Wanted to Know

Data Analytics Essentials You Always Wanted To Know

Dhairya Parikh is a seasoned data engineer, a graduate of the University of Waterloo, and a technical writer with expertise in AI, data science, and practical ML applications.

Shawn Peters has 19 years of teaching experience, is certified in Python Programming Teaching from the College of the North Atlantic, and also specializes in JavaScript and Java.

Dr. Bianca Szasz is a Ph.D. holder in Space Engineering. In over 14 years of experience in engineering and a dedicated focus of 4 years in data analytics, she has used data analytics in a variety of innovative projects, like post-processing of the wind tunnel test results and the analysis of high enthalpy heating test results. Her enthusiasm for data analytics eventually expanded beyond using it for work. Now she is passionate about educating the future generation of data analysts.

Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.

Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.

The Self-Learning Management Series is designed to help students, new managers, career switchers, and entrepreneurs learn essential management lessons and covers every aspect of business, from HR to Finance to Marketing to Operations across any and every industry. Each book includes basic fundamentals, important concepts, and standard and well-known principles as well as practical ways of application of the subject matter.

This book offers a beginner-friendly approach to learning Python, focusing not only on syntax but also on problem-solving, which is key for effective programming. The author’s clear intent is to make coding enjoyable and relevant, providing examples that are simple yet significant to help readers follow along. The emphasis is on applying coding skills practically, with quizzes and case studies included to solidify understanding. By the end, readers will grasp essential concepts such as Python syntax, data structures, error handling, and object-oriented programming, all while gaining the confidence to solve real-world problems. Having an understanding of these concepts, you will be well-prepared to tackle more advanced Python topics and apply your skills to real-life coding challenges.
-- LooYee NG, Solutions Architect at CTMG

I think this text is a comprehensive yet succinct manual. It gives a usable introduction to data analytics and is easy to read and comprehend. An added benefit is that the book contains real-world case studies and interesting facts to help enhance existing knowledge. 

A key strength of this text is the option to choose the topics that you want to focus on and the resources that you want to use. This flexibility makes self-directed learning a great option for busy professionals who want to add data analytics skills to their repertoire. If you're interested in self-directed learning for data analytics, there are a few things you need to do to get started, and this text will help!
-- David E Reva Instructor - CIS, Kalamazoo Valley Community College